Exploring the potential of ChatGPT to create reading materials for incidental learning of academic vocabulary
Year: 2026
Type: article
Abstract: Although Generative AI (GenAI) has the potential to create materials for EAP students to learn academic vocabulary, this potential has received little empirical investigation. To address this gap, this study developed three ChatGPT corpora of extensive reading materials targeting EAP learners at different vocabulary levels. Each corpus was evaluated against key conditions needed for vocabulary through extensive reading (comprehensibility, repetition, spaced retrieval, varied encounters, and elaboration). The results indicate that ChatGPT can be a useful resource for generating extensive reading materials to support academic vocabulary learning among EAP learners. However, to optimise learning outcomes, these materials need further revision and pedagogical mediation from teachers.
Authors: Xuechun Huang, Hongyi Zhao, Thi Ngoc Yen Dang
Institution: University of Leeds
Language: English
Subfield: Developmental and Educational Psychology
Field: Psychology
Domain: Social Sciences
SDG: Quality education
Open Access status: hybrid
Estimated APC paid: $3,730
OpenAlex ID: W7208811404
